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Detail publikace
KORČEK, P. SEKANINA, L. FUČÍK, O.
Originální název
Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
An effective calibration method of the cellular automaton based traffic microsimulation model is proposed in this paper. It is shown that by utilizing a genetic algorithm it is possible to calibrate different parameters of the model much better than a traffic expert. Moreover, using this process it is also possible to find several model parameters that are extremely difficult to calibrate as relevant data can not be measured using standard monitoring technologies or complete data sets are often not available. The quality of the new calibrated models is discussed in the task of vehicle travel time estimation. The precision of simulations is increased over three times compared to a manually tuned model. The average error rate is 10.75 % in comparison with several field travel time data.
Klíčová slova
traffic, microsimulation, cellular automaton model, calibration, travel time
Autoři
KORČEK, P.; SEKANINA, L.; FUČÍK, O.
Rok RIV
2013
Vydáno
31. 12. 2013
Nakladatel
Old City Publishing, Inc.
ISSN
1557-5969
Periodikum
Journal of Cellular Automata
Ročník
8
Číslo
6
Stát
Spojené království Velké Británie a Severního Irska
Strany od
457
Strany do
467
Strany počet
12
URL
https://www.fit.vut.cz/research/publication/10241/
BibTex
@article{BUT104511, author="Pavol {Korček} and Lukáš {Sekanina} and Otto {Fučík}", title="Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times", journal="Journal of Cellular Automata", year="2013", volume="8", number="6", pages="457--467", issn="1557-5969", url="https://www.fit.vut.cz/research/publication/10241/" }